Agent
Discoverability

HotelME

Compare hotels in Japan

View in the ChatGPT registry
Category
Pending
Primary Subcategory
Pending
Integration details

Description

HotelME helps you find hotels in Japan by location, review themes and observed nightly prices, and compare up to three properties. Explore positive and negative review trends about food, rooms and service with supporting aggregate data. For supported hotels, get Jalan and Rakuten Travel booking-search links that retain your check-in and check-out dates and party size. No Metro account or login is required. Prices are observations from the time of collection, not live quotes or guarantees of availability or a single continuous multi-night plan. Reservations and payments take place on the external booking site; HotelME does not make bookings. Review-theme mentions do not guarantee that an amenity or service is available. Dated prices and booking searches support two adults, one room, no children, and stays of 1–14 nights. Date coverage targets the next six months, but prices and links are not available for every hotel or date. Missing information and unsupported conditions are stated explicitly.

Integration type
Plugin
Verification status
Not applicable
Platform
ChatGPT
Category
Pending

The broad Category that contains the Primary Subcategory.

Primary Subcategory
Pending

The Primary Subcategory used for this profile’s headline score.

Secondary Subcategories
None listed

Other Subcategories where the Integration is listed.

Access
No account required
First tracked
2026-10-17
Tool count
5
Geography
US
Agent DiscoverabilityChatGPT Plugin Discovery Score
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Primary Subcategory

Competitive lineup

No Primary Subcategory assigned yetOnce HotelME has a Primary Subcategory, the Plugins and Connectors it competes with will appear here with their scores.
Tools

5 tools agents can invoke

Recommended guideHow to get your ChatGPT Plugin suggestedFollow the practical steps agents use to find, shortlist, and choose your Plugin.Read guide
FAQs

HotelME ChatGPT Plugin FAQ

How the directory, categories and Discoverability Score work.

Read the methodology
How do I improve HotelME's ChatGPT Plugin discoverability?

The levers are the listing surface agents actually read: names, descriptions, keywords, tool metadata, and registry health. Which lever matters depends on where discovery breaks, which is what continuous measurement shows.

Where is this profile measured?

This profile uses the geography attached to the latest public registry snapshot: US. Locale tags are intentionally omitted.